White House Wades into Debate on 'Open' Versus 'Closed' Artificial Intelligence Systems

FILE - The OpenAI logo is displayed on a cell phone with an image on a computer monitor generated by ChatGPT's Dall-E text-to-image model, Friday, Dec. 8, 2023, in Boston. (AP Photo/Michael Dwyer, File)
FILE - The OpenAI logo is displayed on a cell phone with an image on a computer monitor generated by ChatGPT's Dall-E text-to-image model, Friday, Dec. 8, 2023, in Boston. (AP Photo/Michael Dwyer, File)
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White House Wades into Debate on 'Open' Versus 'Closed' Artificial Intelligence Systems

FILE - The OpenAI logo is displayed on a cell phone with an image on a computer monitor generated by ChatGPT's Dall-E text-to-image model, Friday, Dec. 8, 2023, in Boston. (AP Photo/Michael Dwyer, File)
FILE - The OpenAI logo is displayed on a cell phone with an image on a computer monitor generated by ChatGPT's Dall-E text-to-image model, Friday, Dec. 8, 2023, in Boston. (AP Photo/Michael Dwyer, File)

The Biden administration is wading into a contentious debate about whether the most powerful artificial intelligence systems should be “open-source” or closed.
The White House said Wednesday it is seeking public comment on the risks and benefits of having an AI system's key components publicly available for anyone to use and modify. The inquiry is one piece of the broader executive order that President Joe Biden signed in October to manage the fast-evolving technology, The Associated Press said.
Tech companies are divided on how open they make their AI models, with some emphasizing the dangers of widely accessible AI model components and others stressing that open science is important for researchers and startups. Among the most vocal promoters of an open approach have been Facebook parent Meta Platforms and IBM.
Biden’s order described open models with the technical name of “dual-use foundation models with widely available weights” and said they needed further study. Weights are numerical values that influence how an AI model performs.
When those weights are publicly posted on the internet, “there can be substantial benefits to innovation, but also substantial security risks, such as the removal of safeguards within the model,” Biden’s order said. He gave Commerce Secretary Gina Raimondo until July to talk to experts and come back with recommendations on how to manage the potential benefits and risks.
Now the Commerce Department's National Telecommunications and Information Administration says it is also opening a 30-day comment period to field ideas that will be included in a report to the president.
“One piece of encouraging news is that it’s clear to the experts that this is not a binary issue. There are gradients of openness,” said Alan Davidson, an assistant Commerce secretary and the NTIA's administrator. Davidson told reporters Tuesday that it's possible to find solutions that promote both innovation and safety.



SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI
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SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

The Center of Excellence for Data Science and Artificial Intelligence at the Saudi Data and Artificial Intelligence Authority (SDAIA) and King Abdullah University of Science and Technology (KAUST) have introduced the MiniGPT-Med model.

The large multi-modal language model is designed to help doctors quickly and accurately diagnose medical radiology using artificial intelligence techniques.

Dr. Ahmed Alsinan, the Artificial Intelligence Advisor at the National Center for Artificial Intelligence and head of the scientific team at SDAIA, explained that the MiniGPT-Med model is capable of performing various tasks such as generating medical reports, answering medical visual questions, describing diseases, locating diseases, identifying diseases, and documenting medical descriptions based on entered medical images.

The model was trained on different medical images, including X-rays, CT scans, and MRIs.

The MiniGPT-Med model, derived from large-scale language models, is specifically tailored for medical applications and demonstrates significant versatility across different imaging methods, including X-rays, CT scans, and MRI. This enhances its utility in medical diagnosis.

Dr. Alsinan highlighted that the MiniGPT-Med model was developed collaboratively by artificial intelligence specialists from SDAIA and KAUST.

The model exhibits advanced performance in generating medical reports, achieving 19% higher efficiency than previous models. It serves as a general interface for radiology diagnosis, enhancing diagnostic efficiency across various medical imaging applications.